RPA AI Architect

StarTekk

. Design end-to-end RPA, AI, and intelligent automation architectures for enterprise business processes .

Posted 10/5/2026full-timeRemote • Texas • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing RPA and AI-driven automation solutions, with a strong focus on enterprise architecture, scalability, and integration with various platforms. Proven ability to lead technical initiatives and collaborate with cross-functional teams to optimize business processes through intelligent automation.

Highest-signal resume keywords

RPA Architecture DesignAI/ML Solution DevelopmentPython ProgrammingUiPath ExperienceAWS Cloud Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RPAAI/MLGenerative AINLPWorkflow AutomationREST APIsMicroservicesAutomation FrameworksDocument AutomationScalability

Soft Skills

Technical LeadershipStakeholder CommunicationArchitecture DocumentationCollaborationPresentation Skills

Tools & Technologies

UiPathAutomation AnywhereMicrosoft Power AutomateAWSAzureGCPLangChainOpenAIAzure OpenAIAWS Bedrock

Industry Keywords

Enterprise AutomationIntelligent Workflow OrchestrationProcess OrchestrationAI AgentsDocument Processing

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesMicroservicesPythonRPASOAP

About the role

Key responsibilities & impact

Design end-to-end RPA, AI, and intelligent automation architectures for enterprise business processes
Develop AI-powered automation solutions for document processing, data extraction, workflow automation, reporting, and business operations
Architect solutions using RPA, LLMs, Generative AI, NLP, RAG, AI agents, and intelligent workflow orchestration
Integrate automation solutions with enterprise applications, databases, APIs, SaaS platforms, and legacy systems
Design and implement intelligent robotic/process automation workflows using RPA platforms, APIs, AI agents, and orchestration frameworks
Develop scalable and reusable automation frameworks and enterprise automation standards
Evaluate business processes and identify opportunities for RPA and AI-driven automation
Establish secure, scalable, and highly available architectures for enterprise automation platforms
Design access controls, authentication, monitoring, logging, and governance for automation solutions
Evaluate and optimize AI models for accuracy, performance, reliability, relevance, and cost efficiency
Lead architecture reviews, technical POCs, solution design, and production implementations
Collaborate with business stakeholders, solution architects, data scientists, ML engineers, software engineers, DevOps, and security teams
Provide technical leadership and architectural guidance throughout the automation lifecycle

Requirements

What you’ll need

10+ years of experience in software engineering, RPA, AI/ML, enterprise architecture, or related technology
Strong experience designing RPA, AI/ML, and Generative AI architectures
Expertise in RPA, workflow automation, intelligent automation, and process orchestration
Strong understanding of LLMs, NLP, RAG, embeddings, vector databases, and AI agents
Experience with Python, REST APIs, microservices, and enterprise integration
Hands-on experience with UiPath, Automation Anywhere, or Microsoft Power Automate
Experience with AWS, Azure, or GCP cloud platforms and AI services
Experience integrating automation solutions with enterprise applications, databases, APIs, and SaaS platforms
Strong understanding of automation architecture, scalability, monitoring, security, and governance
Experience designing reusable automation frameworks and enterprise-level solutions
Strong architecture documentation, presentation, and stakeholder communication skills
Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Azure OpenAI, AWS Bedrock, or equivalent technologies
Experience with AI agents and agentic workflow automation
Knowledge of RAG, Graph RAG, Knowledge Graphs, embeddings, and vector databases
Experience with OCR, Intelligent Document Processing (IDP), computer vision, and document automation
Experience integrating RPA platforms with REST APIs, SOAP APIs, databases, queues, and enterprise systems
Experience with Azure Functions, AWS Lambda, serverless architecture, or equivalent technologies
Experience with workflow/orchestration platforms and event-driven architectures
Experience building human-in-the-loop AI and automation solutions
Experience taking automation solutions from POC through production deployment and enterprise scale
Knowledge of DevOps, CI/CD, containers, Kubernetes, and cloud-native architecture is a plus

Benefits

Comp & perks

Employees can work remotely